43 citations · 75 across the 12 of their papers we have counts for
3 papers · 1 filter
Node-Centric Graph Learning from Data for Brain State Identification
Nafiseh Ghoroghchian, David M. Groppe, Roman Genov +2
Data-driven graph learning models a network by determining the strength of connections between its nodes. The data refers to a graph signal which associates a value with each graph…
A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals
Nafiseh Ghoroghchian, Stark C. Draper, Roman Genov
Motivated by the emerging area of graph signal processing (GSP), we introduce a novel method to draw inference from spatiotemporal signals. Data acquisition in different locations…
AIDX: Adaptive Inference Scheme to Mitigate State-Drift in Memristive VMM Accelerators
Tony Liu, Amirali Amirsoleimani, Fabien Alibart +3
An adaptive inference method for crossbar (AIDX) is presented based on an optimization scheme for adjusting the duration and amplitude of input voltage pulses. AIDX minimizes the l…